Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Applied Artificial Intelligence: A SourceBook
Applied Artificial Intelligence: A SourceBook
Lung cancer cell identification based on artificial neural network ensembles
Artificial Intelligence in Medicine
A dialogue on responsibility, moral agency, and IT systems
Proceedings of the 2006 ACM symposium on Applied computing
Ethics and Information Technology
Presence, Reciprocity and Robotic Mediations: The Case of Autonomous Social Robots
International Journal of Technoethics
sCEthics: embedding ethical values in cognitive engineering
Proceedings of the 31st European Conference on Cognitive Ergonomics
An ethical boundary agent to prevent the abdication of responsibility in combat systems
Proceedings of the 31st European Conference on Cognitive Ergonomics
On the moral responsibility of military robots
Ethics and Information Technology
Negotiating autonomy and responsibility in military robots
Ethics and Information Technology
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Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription.